Jianqiang Sun

Complex-valued representations of time-series gene expression profiles for network analysis

This study introduces a complex-valued representation for time-series gene expression data, showing it captures distinct gene-gene similarities and temporal programs comparable to conventional methods.

A likelihood ratio test for detecting shifts in homeolog expression ratios in allopolyploids

This paper introduces HOBIT, a statistical method to detect shifts in homeolog expression ratios in allopolyploids, outperforming existing methods in simulation and real data applications.

Cross-dataset evaluation of deep learning models for plant pest and disease diagnosis

This study evaluates deep learning models for plant pest and disease diagnosis across different datasets, finding that performance degrades when models are tested on new datasets.